{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "metadata": {}
   },
   "outputs": [],
   "source": [
    "!pip3 install torch torchvision torchaudio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "metadata": {}
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "tensor([[0.1596, 0.1988, 0.5403],\n",
      "        [0.8585, 0.4997, 0.4957],\n",
      "        [0.2632, 0.0185, 0.9438],\n",
      "        [0.4246, 0.4434, 0.2968],\n",
      "        [0.9607, 0.3005, 0.3208]])\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "x = torch.rand(5, 3)\n",
    "print(x)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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